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Title: | Evaluation of Illumina® COVIDSeq™ as a tool for Omicron SARS-CoV-2 characterisation | Authors: | Lowry, Kym Bauer, Michelle J. Buckley, Cameron Wang, Claire Bordin, Amanda Badman, Steven Harris, Patrick N. A. Mackay, Ian Whiley, David |
Issue Date: | 2023 | Source: | Journal of virological methods, 2023 (322) p.114827 | Pages: | 114827 | Journal Title: | Journal of virological methods | Abstract: | The continued emergence and transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants requires ongoing genetic surveillance to support public health responses. The expansion of reliable next generation sequence (NGS) platforms has enabled the rapid characterisation of the constant emergence of new SARS-CoV-2 variants using nasopharyngeal swab specimens. Several studies have assessed the ability of COVIDSeq to type earlier SARS-CoV-2 strains (pre-Delta) rapidly and successfully, however, there is limited data showing suitability against Omicron variants. In the present study, we evaluated the performance of the Illumina COVIDSeq Assay as a streamlined amplicon-based NGS platform for detection and typing of Omicron variants. Our results demonstrate the high performance of SARS-CoV-2 sequencing using the COVIDSeq approach, with good repeatability, reproducibility and sensitivity for samples approaching C T 31. The COVIDSeq approach was 100% concordant with samples previously characterized by sequencing methods. The quick library preparation process and high throughput kit made it ideal for reflex testing, with a total time required for sequencing and analysis of approximately two days. This study demonstrates the effectiveness and versatility of the amplicon-based NGS characterisation method for SARS-CoV-2, providing a foundation for further research and development of custom-designed amplicon panels targeting different microorganisms.; Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.) | DOI: | 10.1016/j.jviromet.2023.114827 | Resources: | https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,athens&db=mdc&AN=37778540&site=ehost-live |
Appears in Sites: | Children's Health Queensland Publications |
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